Overview
Senior Power Systems Engineer on Bidgely's Grid Intelligence team, building the product that lets utilities run capacity, scenario and interconnection studies on a capacity digital twin of the distribution grid, reporting to the Director of Engineering with a dotted line to the Director of Product, Grid Planning.
What you'll do
- Evaluate open-source and licensed power flow engines against real feeders, benchmark results and quantify differences, and recommend one with evidence.
- Integrate the chosen power flow engine into the product and own its fit with the rest of Grid Intelligence.
- Build and maintain the capacity digital twin as a product capability, including the engineered pipeline that turns a utility's connectivity model into a validated, versioned grid model.
- Define the network, asset, AMI, SCADA and forecast data the twin requires, the minimum viable data set, and how gaps are handled.
- Build repeatable utility integrations that feed the twin, including connectivity model exports (CIM, GIS and vendor formats), SCADA and AMI.
- Engineer meter-transformer-phase confidence and SCADA calibration into the twin, and build the data-quality exception path so connectivity gaps surface as explicit flags.
- Build the scenario capability (base, future, flexibility, contingency and switching cases) on the twin, comparable side by side.
- Translate load, DER, EV, electrification and large-load forecasts into asset-level 8760 P/Q and phase cases with low, base and high ranges and year of need.
- Engineer 8760 and time-series execution so planners can run scenarios at production scale.
- Build the real loading model: hourly, per-phase loading on every asset from AMI-derived, appliance-level demand, reconciled to SCADA.
- Build the product capability for interconnection studies for new load and DER, including request intake, candidate point-of-interconnection mapping, headroom and hosting capacity screening, and existing-system and contingency impact checks.
- Build large-load and data center modeling into the product, including phased energization, 8760 P/Q profiles, cooling and commissioning cases, and onsite generation, storage and UPS.
- Build flexible interconnection into the product: firm, phased, conditional and flexible service options, with import, ramp and curtailment envelopes.
- Make failed cases productive by proposing repair or alternate connection paths and packaging engineer-ready cases for the utility's authoritative studies.
- Own the technical design of the power flow, twin and study layer, working with developers on performance at scale, failure handling and observability.
- Build the QA and regression suite that proves a change did not move results, and benchmark against sanctioned planning tools and field expectation, explaining every divergence.
- Document assumptions, data lineage and model versioning to a standard that survives a planner's review and eventually a regulatory filing.
- Run quick proofs of concept for grid planning solutions on a utility's own data in days, labeling every shortcut and turning approaches that work into the production path.
- Lead technical validation of pilots and proofs of value, defining acceptance tests and defending results to utility planners and engineers.
- Partner with Product on requirements and roadmap, and with the GM, Grid and Data Science on the customer evidence that moves a utility to adopt.
What you'll need
- BTech or MTech in Electrical Engineering.
- 5+ years in distribution system modeling or power systems analysis, including models built personally from imperfect source data.
- Hands-on experience with at least one distribution power flow tool: OpenDSS, CYME, Synergi, PowerFactory, PSS®SINCAL or an ADMS power flow engine.
- Model validation experience: can benchmark one tool against another and explain the differences.
- Has worked in a production codebase alongside software developers, under code review, with tests and CI.
- Can turn a utility's raw data into a working study in days, with shortcuts made explicit.
- Unbalanced three-phase distribution load flow: voltage bases, phase representation, equipment models, thermal and voltage limits, and reverse flow.
- Working knowledge of the distribution capacity planning cycle: what a planner does with a result and what makes them reject one.
Nice to have
- Power systems specialisation within the electrical engineering degree.
- Has run or reviewed load or DER interconnection studies, covering screening, system impact, contingency performance and service options.
- Utility consulting or EPC background with multi-utility exposure.
- Large-load or data center interconnection experience, including phased energization and onsite generation or storage.
- Flexible or non-firm interconnection experience: conditional service, curtailment envelopes and flexible connection agreements.
- Connectivity model conversion at scale from CIM, GIS or vendor exports; AMI interval data and 8760 forecasting; DER hosting capacity; N-1 and switching analysis.
- Python, including profiling numerical code at scale, and experience evaluating or integrating a commercial solver SDK.
Details
- Location: India Head Office.
Read the full description and apply on the company’s own careers page.